NTWIST uses AI to continuously tune setpoints based on live production signals - helping your team reduce variability, stabilize output, and hit performance targets with confidence.
Across real deployments
Manual tuning cannot keep up with changing process conditions.
Most control systems rely on static setpoints or reactive adjustments. But in real-world operations, even small shifts in feed rate, temperature, or raw material quality can destabilize performance. When tuning decisions lag behind the process, output suffers.
NTWIST continuously tunes setpoints to keep performance steady.
Our AI-driven system analyzes live signals and applies predictive logic to automatically adjust setpoints. This keeps control loops optimized in real time - reducing variability, eliminating overcorrection, and helping your team maintain output without constant firefighting.
NTWIST helps your team stabilize production by continuously tuning setpoints based on real-time signals. We reduce overcorrection, catch drift early, and keep processes running at peak performance - automatically.
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Continuously adjusts setpoints using live process signals to reduce variability and avoid reactive tuning.
Flags early signs of deviation before output is impacted - keeping operators ahead of instability, not behind it.
Learns from your historical and live production behavior to recommend precise tuning changes for each scenario.
Prevents aggressive or unnecessary adjustments that destabilize control loops or disrupt throughput.
Works with your existing control system, using live tags and instrumentation - no rip-and-replace or delays.
Highlights how tuned setpoints improve target compliance, reduce variability, and increase stability over time.
NTWIST helps process engineers and operators stop chasing drift by auto-tuning setpoints in real time. Our platform improves loop stability, reduces overcorrection, and keeps production targets on track - without disrupting your control systems.
Unstable loops and manual tuning lead to lost throughput, higher variability, and inconsistent operator responses. NTWIST automatically adjusts setpoints using live signals—keeping control loops tuned and performance on target.
Results Delivered:
DCS. SCADA. PLCs. Historian Tags. Process Instruments.
NTWIST integrates with your existing control systems and process tags—no rip-and-replace, just smarter tuning with the data you already have.
Stabilize your process with AI-powered setpoint control.
nOptimize continuously tunes control parameters based on live data from your plant floor - minimizing drift, reducing variability, and keeping your process within target without manual intervention.
Understand the patterns behind performance instability.
This combination analyzes live and historical process data to identify where loops destabilize, how often manual tuning occurs, and which variables contribute to performance loss. Perfect for CI and control teams optimizing stability.
NTWIST continuously monitors real-time signals and applies intelligent tuning logic to keep control loops steady - helping you reduce drift, overcorrection, and manual adjustments.
Yes. NTWIST is system-agnostic and works with your live control tags, SCADA/PLC inputs, and historian data. No rip-and-replace or infrastructure overhaul required.
Not at all. We support soft sensors to estimate unmeasured variables and work with whatever instrumentation you already have - whether complete or partial.
No. We provide recommendations and closed-loop tuning logic, but operators retain full visibility and override control. NTWIST enhances decisions - not automation logic.
Customers have reported more stable production runs, improved output consistency, fewer manual setpoint changes, and faster tuning cycles.
We integrate with DCS, SCADA, PLCs, data historians, and analytics tools. If your system provides signal data - we can work with it.
Most implementations are complete within 60–90 days. NTWIST focuses on lightweight, tag-based integration and fast time-to-value.
